| Literature DB >> 35866576 |
Kate Beatty1, Michael G Smith1, Amal J Khoury1, Liane M Ventura1, Oluwatosin Ariyo1, Jordan de Jong1, Kristen Surles1, Deborah Slawson2.
Abstract
PURPOSE: To investigate telehealth use for contraceptive service provision among rural and urban federally qualified health centers (FQHCs) in Alabama (AL) and South Carolina (SC) during the initial months of the COVID-19 pandemic.Entities:
Keywords: contraception; health care disparities; policy; primary health care; telemedicine
Year: 2022 PMID: 35866576 PMCID: PMC9349460 DOI: 10.1111/jrh.12701
Source DB: PubMed Journal: J Rural Health ISSN: 0890-765X Impact factor: 5.667
FQHC characteristics by rural/urban location
| Rural (N = 45)a N (%) | Urban (N = 82)a N (%) | Total (N = 127) N (%) |
| |
|---|---|---|---|---|
| State | ||||
| SC | 28 (62.2) | 53 (64.6) | 81 (63.8) | .787 |
| AL | 17 (37.8) | 29 (35.4) | 46 (36.2) | |
| Clinic accessibility | ||||
| Clinic open for any hours on weekends | 5 (11.1) | 7 (8.5) | 12 (9.5) | .635 |
| Clinic open for any hours in evenings | 7 (15.6) | 20 (24.4) | 27 (21.3) | .245 |
| Clinic located near public transit** | 13 (29.6) | 49 (61.3) | 62 (50.0) | .0007 |
| Other contraceptive centers in the area | 34 (75.6) | 59 (72.8) | 93 (73.8) | .947 |
| Clinical staff employed | ||||
| Physician | 45 (100.0) | 75 (91.5) | 120 (94.5) | .051 |
| Registered nurse | 37 (82.2) | 70 (87.5) | 107 (85.6) | .42 |
| Nurse practitioners | 44 (97.8) | 79 (97.5) | 123 (97.6) | 1 |
| Certified nurse midwives* | 13 (29.6) | 10 (13.7) | 23 (19.7) | .037 |
| Physician assistants | 17 (38.6) | 36 (48.0) | 53 (44.5) | .321 |
| Pharmacists | 24 (53.3) | 49 (65.3) | 73 (60.8) | .192 |
| Nurses' assistants | 18 (40.0) | 24 (33.3) | 42 (35.9) | .465 |
| Medical assistants | 40 (88.9) | 78 (95.1) | 118 (92.2) | .278 |
| Licensed practical nurses | 41 (91.1) | 68 (86.1) | 109 (87.9) | .569 |
| Nonclinical staff employed | ||||
| Administrators | 39 (86.7) | 72 (91.1) | 111 (89.5) | .434 |
| Health counselors and educators | 31 (70.5) | 57 (76.0) | 88 (74.0) | .506 |
| Laboratory technicians | 23 (51.1) | 53 (67.1) | 76 (61.3) | .079 |
| Community health workers/outreach workers | 33 (73.3) | 50 (64.9) | 83 (68.0) | .337 |
| Staffing characteristics | ||||
|
| ||||
| Easy to recruit providers | 25 (59.5) | 53 (74.7) | 78 (69.0) | .093 |
| Difficult to recruit providers | 17 (40.5) | 18 (25.4) | 35 (31.0) | |
|
| ||||
| Easy to retain providers | 26 (61.9) | 56 (78.9) | 82 (72.6) | .051 |
| Difficult to retain providers | 16 (38.1) | 15 (21.1) | 31 (27.4) | |
|
| ||||
| Staffing capacity is sufficient | 32 (74.4) | 64 (82.1) | 96 (79.3) | .321 |
| Staffing capacity is insufficient | 11 (25.6) | 14 (18.0) | 25 (20.7) | |
| Mean (95% LCL, UCL) | Mean (95% LCL, UCL) | Mean (95% LCL, UCL) | ||
| Patient characteristics | ||||
| Percent of total patients receiving contraceptive services weekly*** | 7.4 (5.2, 9.7) | 18.8 (14.0, 23.6) | 14.1 (11.0, 17.3) | <.0001 |
| Percent of contraceptive patients who were adolescents | 20.0 (11.1, 28.9) | 13.0 (8.5, 17.5) | 15.7 (11.3, 20.1) | .159 |
| Percent of contraceptive patients who were racial or ethnic minorities | 34.2 (24.4, 43.9) | 41.8 (33.1, 50.4) | 38.8 (32.4, 45.3) | .245 |
| Insurance mix | ||||
| No insurance | 33.5 (22.9, 44.2) | 32.3 (25.2, 39.5) | 32.8 (26.9, 38.6) | .851 |
| Private health insurance | 24.6 (15.0, 31.2) | 18.5 (13.3, 23.6) | 20.7 (16.0, 25.3) | .259 |
| Family planning‐specific Medicaid | 22.7 (12.4, 33.0) | 24.3 (18.2, 30.3) | 23.7 (18.4, 29.0) | .794 |
| Full benefit Medicaid | 28.2 (17.6, 38.8) | 22.0 (16.0, 28.0) | 24.3 (18.9, 29.7) | .31 |
aPlease note, the Ns reflected in the column headers reflect TOTAL responses and may not directly align with responses to responses to each survey question reflected in below tables/figures.
Data source: Contraceptive Care Clinic Survey.
*P<.05; **P<.01; ***P<.001.
Telehealth services for contraceptive care at rural and urban FQHCs before and during the initial months of the COVID‐19 pandemica
| Prepandemic (2019) | Early pandemic (March‐June 2020) | |||||
|---|---|---|---|---|---|---|
| Rural (N = 45) N (%) | Urban (N = 82) N (%) | Total (N = 127) N (%) | Rural (N = 45) N (%) | Urban (N = 82) N (%) | Total (N = 127) N (%) | |
| Contraceptive counseling | 9 (20.0) | 15 (19.2) | 24 (19.5) | 7 (16.3)** | 41 (50.6)** | 48 (38.7)** |
| Hormonal contraceptive prescriptions (initial) | 4 (8.9) | 6 (7.7) | 10 (8.1) | 6 (14.0) | 18 (22.2) | 24 (19.4) |
| Hormonal contraceptive prescriptions (refill) | 7 (15.6) | 19 (24.4) | 26 (21.1) | 17 (39.5) | 42 (51.9) | 59 (47.6) |
| Emergency contraception provided | 1 (2.2) | 3 (3.9) | 4 (3.3) | 0 (0.0)** | 13 (16.1)** | 13 (10.5)** |
| STI care | 6 (13.3) | 13 (16.7) | 19 (15.5) | 7 (16.3)* | 28 (34.6)* | 35 (28.2)* |
| Any contraceptive care service | 12 (26.7) | 24 (29.3) | 36 (28.4) | 21 (46.7) | 49 (59.8) | 70 (55.1) |
a P‐values indicate differences between urban and rural service provision within each time frame. No differences were found between years.
* P<.05; ** P<.01.
Data source: Contraceptive Care Clinic Survey.
FIGURE 1Clinics' plans to continue telehealth services beyond the initial months of the COVID‐19 pandemic (March‐June 2020). Data source: Contraceptive Care Clinic Survey.
Perceptions of facilitators of telehealth service provision among rural and urban FQHC staff during the early months of COVID‐19 (March‐June 2020) (n = 25 staff interviewees)
| Policy/structural facilitators | Rural N = 5 | Urban N = 20 | Representative quotation |
|---|---|---|---|
| Electronic infrastructure and technology | X | X | “We've done a bit with the carts that we got, but we've used Doxy.me. It's a video app on your phone… As long as you had a smartphone, you could pretty much connect to a patient, do a telehealth visit.” (Rural) |
| External funding to support telehealth | X | X | “Of course, the health centers were part of the CARES funding, so we used some of that funding to help beef up laptops and clinical access to those, making sure that providers had access, making sure the laptops were up to speed.” (Rural) |
| Insurance reimbursement policy | X | X | “I would say the relaxing of regulations during this time, absolutely is probably number one. The thing that enabled us to rapidly move to telehealth…” (Urban) |
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| |||
| Availability of pharmacy on‐site | X | “So I guess provider helped, the IT part helped, with that, and the availability that we have pharmacies in house ….” (Urban) | |
| Clinic safety protocol | X | X | “We really, as an agency, tried to work on social distancing, separating offices, making sure that we're shifting schedules so that we don't exceed a certain number of people in a particular clinic per day. Our larger clinics that have multiple providers with multiple different programs, we're having to strategically schedule them.” (Rural) |
| Embedded telehealth into workflow | X | X | “All work providers have at least one telehealth day a week where they work from a remote setting so that we free up space.” (Rural) |
| Loss of revenue | X | “It was really the lack of patients. We weren't generating revenue. Patients weren't coming and there was a greater fear of layoffs.” (Urban) | |
| No furloughs for staff | X | X | “We haven't had to lose anyone or furlough anybody.” (Urban) |
| Staff reassignments and increased workload | X | X | “We have had challenges with staffing, not releasing staffing, but having to maybe change some staffing duties and responsibilities in order to provide services to patients.” (Urban) |
| Wanting to continue to provide care | X | “We didn't want to stop providing services during COVID. We felt that it's still very important to make sure that patients in the community are getting their care, so we didn't want to push anyone away from still receiving the care that they needed.” (Urban) | |
|
| |||
| Buy‐in among providers and staff | X | “Having a really can‐do attitude team on all fronts, with our IT, with our finance, billing providers, administrators. Everyone was eager to see this happen and to be a part of making it happen and making sure it was set up and done well.” (Urban) | |
| Training for telehealth service provision | X | X | “The training, the availability of providers, and the willingness of providers to actually provide those services.” (Urban) |
Note: X indicates where at least 1 respondent from respective sector indicated a theme.
Data source: Key informant interviews.
Perceptions of barriers to telehealth service provision among rural and urban FQHC staff during the early months of COVID‐19 (March‐June 2020) (n = 25 staff interviewees)
| Policy/structural factors | Rural N = 5 | Urban N = 20 | Representative quotation |
|---|---|---|---|
| Challenges with funding for telehealth | X | X | “I think that's one of the crippling that had killed us on telehealth, was primarily there was no funding. When you talked to Medicaid or CMS or you talked to the state agencies … it was like, ‘We don't know when the funding will be there.’” (Rural) |
| Integrating telehealth software into EMR | X | “One of the biggest factors was just the simplicity of getting a good software to do it was the good part. The challenge was just, how to incorporate this now into our electronic medical records?” (Urban) | |
| Limited electronic infrastructure and technology | X | X | “I would say probably lack of infrastructure.” (Rural) |
| No policies or procedures for implementation | X | “We had to design policies. We had to learn how to bill. We're still working out billing practices.” (Urban) | |
| Reimbursement restrictions for telehealth | X | “The reimbursement I think was the biggest challenge … that's because the actual insurance companies weren't ready to receive bills with these types of codes… It was easier for us to implement it than it was for the insurance companies.” (Urban) | |
|
| |||
| Clinic closures | X | “We initially had to do a furlough because we were having to shut some centers down throughout the week. Unfortunately, in some of the areas, there just wasn't a need to have clinics open every day.” (Rural) | |
| Challenges with scheduling and embedding telehealth into workflow | X | “At first they were trying to do virtual visits in the mix of face‐to‐face visits. That was very challenging because you can't really stay on time when you're doing face‐to‐face visits.” (Urban) | |
| Furloughs | X | “It was a big impact on everybody since a lot of the administration staff, counselors, and social workers had to be furloughed as well. So those services were reduced and that support from the admin team was also reduced. It has been a major impact…” (Urban) | |
| Reduced staffing capacity | X | X | “I can tell you how it affected the clinic which also affected family planning and that is we had a problem with staffing because schools were closed.” (Urban) |
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| Provider comfort level with telehealth | X | “It's just not something that our providers have been comfortable with, we did not do it prior to the pandemic but we are continuing it currently for patients who do not feel safe to come into the office.” (Urban) | |
| Provider comfort level with delivering care in multiple settings | X | “… it is hard for the providers and the clinical staff to be constantly flipping back and forth from a real patient that's in the office, the next patient is a telehealth patient…” (Urban) | |
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| Lack of access to necessary technology | X | X | “I think that there were definitely hiccups in the beginning with people not really understanding how to use the app, or maybe connectivity issues.” (Rural) |
Note: X indicates where at least 1 respondent from respective sector indicated a theme.
Data source: Key informant interviews.
| Alabama (N = 46) N (%) | South Carolina (N = 81) N (%) | Total (N = 127)N (%) |
| |
|---|---|---|---|---|
|
| ||||
| Clinic open for any hours on weekends | 1 (2.2) | 11 (13.6) | 12 (9.5) | .055 |
| Clinic open for any hours in evenings** | 3 (6.5) | 24 (29.6) | 27 (21.3) | .002 |
| Clinic located near public transit** | 16 (34.8) | 46 (59.0) | 62 (50.0) | .009 |
| Other contraceptive centers in the area | 36 (78.3) | 57 (71.3) | 93 (73.8) | .614 |
|
| ||||
| Primary care | 44 (100.0) | 77 (100.0) | 121 (100.0) | n/a |
| WIC | 11 (40.7) | 13 (31.0) | 24 (34.8) | .405 |
| Prenatal services | 12 (41.4) | 28 (53.9) | 40 (49.4) | .282 |
| Immunizations** | 27 (73.0) | 70 (92.1) | 97 (85.8) | .006 |
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| ||||
| Physician | 43 (93.5) | 77 (95.1) | 120 (94.5) | .703 |
| Registered nurse* | 34 (75.6) | 73 (91.3) | 107 (85.6) | .016 |
| Nurse practitioners | 45 (97.8) | 78 (97.5) | 123 (97.6) | 1 |
| Certified nurse midwives*** | 0 (0.0) | 23 (30.3) | 23 (19.7) | <.0001 |
| Physician assistants* | 13 (31.0) | 40 (52.0) | 53 (44.5) | .028 |
| Pharmacists*** | 14 (33.3) | 59 (75.6) | 73 (60.8 | <.0001 |
| Nurses' assistants | 16 (39.0) | 26 (34.2) | 42 (35.9) | .605 |
| Medical assistants | 41 (89.1) | 77 (95.1) | 118 (92.9) | .283 |
| Licensed practical nurses | 36 (81.8) | 73 (91.3) | 109 (87.9) | .123 |
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| Administrators* | 35 (79.6) | 76 (95.0) | 111 (89.5) | .012 |
| Health counselors and educators** | 25 (59.5) | 63 (81.8) | 88 (74.0) | .008 |
| Laboratory technicians | 23 (52.3) | 53 (66.3) | 76 (61.3) | .126 |
| Community health workers/outreach workers** | 23 (52.3) | 60 (76.9) | 83 (68.0) | .005 |
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| ||||
|
| ||||
| Easy to recruit providers | 24 (60.0) | 54 (74.0) | 78 (69.0) | .125 |
| Difficult to recruit providers | 16 (40.0) | 19 (26.0) | 35 (31.0) | |
|
| ||||
| Easy to retain providers | 25 (62.5) | 57 (78.1) | 82 (72.6) | .076 |
| Difficult to retain providers | 15 (37.5) | 16 (21.9) | 31 (27.4) | |
|
| ||||
| Staffing capacity is sufficient | 29 (65.9) | 67 (87.0) | 96 (79.3) | .006 |
| Staffing capacity is insufficient | 15 (34.1) | 10 (13.0) | 25 (20.7) | |
| Mean (95% LCL, UCL) | Mean (95% LCL, UCL) | Mean (95% LCL, UCL) | ||
|
| ||||
| Percent of total patients receiving contraceptive services weekly | 10.4 (5.9, 14.9) | 16.3 (12.1, 20.6) | 14.1 (11.0, 17.3) | .057 |
| Percent of contraceptive patients who were adolescents | 14.5 (8.0, 20.9) | 16.4 (10.5, 22.4) | 15.7 (11.3, 20.1) | .658 |
| Percent of contraceptive patients who were racial or ethnic minorities | 38.6 (26.8, 50.4) | 39.0 (31.2, 46.7) | 38.8 (32.4, 45.3) | .962 |
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| No insurance | 26.8 (17.7, 36.0) | 36.1 (28.4, 43.7) | 32.8 (26.9, 38.6) | .121 |
| Private health insurance** | 13.0 (7.8, 18.1) | 25.1 (18.5, 31.8) | 20.7 (16.0, 25.3) | .005 |
| Family planning‐specific Medicaid* | 16.7 (10.1, 23.3) | 27.5 (20.2, 34.7) | 23.7 (18.4, 29.0) | .03 |
| Full benefit Medicaid | 18.2 (11.1, 25.2) | 27.9 (20.4, 35.3) | 24.3 (18.9, 29.7) | .06 |
Data source: Contraceptive Care Clinic Survey.
*P<.05; **P<.01; ***P<.001.
| Prepandemic (2019) | Early pandemic (March‐June 2020) | |||||
|---|---|---|---|---|---|---|
| Alabama (N = 46) N (%) | South Carolina (N = 81) N (%) | Total (N = 127) N (%) | Alabama (N = 46) N (%) | South Carolina (N = 81) N (%) | Total (N = 127) N (%) | |
| Contraceptive counseling | 8 (18.6) | 16 (20.0) | 24 (19.5) | 13 (28.9) | 35 (44.3) | 48 (38.7) |
| Hormonal contraceptive prescriptions (initial) | 2 (4.7) | 8 (10.0) | 10 (8.1) | 7 (15.6) | 17 (21.5) | 24 (19.4) |
| Hormonal contraceptive prescriptions (refill) | 8 (18.6) | 18 (22.5) | 26 (21.1) | 21 (46.7) | 38 (48.1) | 59 (47.6) |
| Emergency contraceptive provided | 0 (0.0) | 4 (5.0) | 4 (3.3) | 3 (6.7) | 10 (12.7) | 13 (10.5) |
| STI care | 9 (20.9) | 10 (12.5) | 19 (15.5) | 10 (22.2) | 25 (31.7) | 35 (28.2) |
| Any contraceptive care service | 12 (26.1) | 24 (29.6) | 36 (28.4) | 22 (47.8) | 48 (59.3) | 70 (55.1) |
Data source: Contraceptive Care Clinic Survey.